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Breast Cancer Research and Treatment

, Volume 103, Issue 1, pp 125–127 | Cite as

Differentially expressed genes between primary cancer and paired lymph node metastases predict clinical outcome of node-positive breast cancer patients

  • Yumei Feng
  • Baocun Sun
  • Xiaoqing Li
  • Liang Zhang
  • Yun Niu
  • Chunhua Xiao
  • Liansheng Ning
  • Zhiyi Fang
  • Yuli Wang
  • Lina Zhang
  • Jing Cheng
  • Wei Zhang
  • Xishan Hao
Erratum

Erratum to: Breast Cancer Res Treat DOI 10.1007/s10549-006-9385-7

Unfortunately a wrong table was printed in this article. Please find below the correct Table 3.
Table 3

Genes changed in metastases relative in corresponding primary tumors

HUGO name

GB.accession

Cases

P*

P**

Cell adhesion and mobility

Extracellular matrix

Cell growth

Cell differentiation

Signal transduction

Transcription factor

Immune response

Metabolism and catalytic activity

Transport

Other function and unknown function

Down-regulated genes (50 genes)

SFRP2

AF311912

23

6.40E−06

1.26E−03

 

 

     

COL11A1

NM_001854

23

6.41E−04

6.32E−05

        

PDGFRL

NM_006207

20

6.82E−07

2.44E−09

  

       

MMP2

NM_004530

20

2.65E−06

5.03E−06

 

     

  

CTSK

NM_000396

20

2.75E−05

1.23E−05

 

     

  

MMP7

NM_002423

20

1.08E−03

1.18E−03

 

     

  

ASPN

NM_017680

20

1.91E−03

1.31E−04

 

      

 

ITGBL1

NM_004791

19

2.73E−07

3.03E−05

   

     

OSF−2

NM_006475

19

2.29E−06

3.76E−08

         

COL6A1

NM_001848

18

6.63E−07

2.02E−03

        

FMO1

NM_002021

18

2.33E−06

1.84E−02

       

 

COL5A2

NM_000393

18

3.69E−05

1.72E−06

      

 

HTRA3

AY040094

17

6.08E−05

2.15E−04

  

    

  

SPOCK

NM_004598

17

6.36E−05

7.41E−04

      

LUM

NM_002345

17

7.32E−05

1.20E−04

 

       

SPON1

AB018305

17

9.62E−05

8.46E−06

        

CILP

NM_003613

17

3.48E−04

1.49E−05

       

  

LGALS1

NM_002305

16

2.05E−07

6.29E−03

 

 

     
 

AL359052

16

2.49E−05

4.25E−03

          

PRSS11

NM_002775

16

1.99E−04

7.59E−06

 

 

     

OGN

NM_033014

16

2.41E−03

2.07E−03

 

       

ECM1

NM_004425

16

6.08E−03

1.16E−01

 

  

   

 

STEAP

NM_012449

16

4.20E−02

2.84E−04

         

SNAI2

BC014890

15

1.51E−06

3.39E−04

  

  

    

FN1

NM_002026

15

2.37E−05

6.04E−04

 

  

   

TNFAIP6

NM_007115

15

3.08E−05

1.82E−02

   

 

   

COL1A2

NM_000089

15

3.63E−05

1.02E−05

 

      

 

COL3A1

NM_000090

15

1.22E−04

6.75E−05

 

      

 

FBN1

NM_000138

15

4.53E−04

4.28E−07

 

       

CCL8

Y16645

15

1.24E−03

6.42E−02

    

 

 

 

CALU

NM_001219

15

5.50E−03

5.76E−01

         

CSPG2

U16306

15

9.55E−03

1.12E−04

       

GPNMB

NM_002510

15

1.55E−02

1.62E−02

 

  

  

KRT15

NM_002275

15

1.93E−02

1.58E−02

         

RUNX2

AW469546

14

4.18E−07

3.37E−04

  

 

    

GRP

NM_002091

14

6.71E−05

9.51E−03

  

 

  

  
 

AK022342

14

7.54E−05

2.32E−03

          

PCOLCE

NM_002593

14

1.37E−04

6.09E−06

       

 

TGFB3

NM_003239

14

1.97E−04

5.91E−03

  

     

COL5A1

NM_000093

14

3.60E−04

5.06E−06

 

      

 

CDC45L

NM_003504

14

4.01E−04

1.72E−06

  

       

KRT14

NM_000526

14

4.55E−04

7.70E−03

         

CTHRC1

BC014245

14

6.69E−04

7.19E−08

         

MRC2

NM_006039

14

9.87E−04

9.43E−07

    

  

RIS1

AF438313

14

1.26E−03

9.17E−03

       

  

FCGR3A

J04162

14

2.79E−03

3.94E−05

    

 

   

ABCC1

NM_004996

14

2.57E−02

7.32E−01

       

 

CKTSF1B1

NM_013372

14

4.23E−02

7.08E−05

    

     

NEFL

NM_006158

14

1.50E−05

1.89E−01

         

PIGR

AK026320

14

1.68E−02

2.04E−01

 

  

     

Up−regulated genes (29 genes)

PDE6H

NM_006205

22

1.21E−04

1.67E−02

       

  

MS4A1

NM_021950

21

7.36E−04

8.15E−03

    

 

   

C7

NM_000587

21

8.48E−04

6.70E−02

 

    

  

 

AF343666

20

5.13E−03

8.99E−03

          

LTB

NM_002341

18

9.26E−04

6.23E−05

    

 

   

SELL

NM_000655

18

1.05E−03

1.12E−03

         

RGS1

NM_002922

18

2.04E−03

8.27E−03

    

 

   

FREB

NM_032738

17

1.98E−03

1.52E−01

          

BIRC3

AF070674

17

5.91E−03

1.85E−04

  

       

TRB@

X00437

17

1.15E−02

3.01E−04

      

   

TNFAIP3

NM_006290

17

1.85E−02

1.77E−04

  

   

  

PTPRC

NM_002838

17

2.94E−02

2.01E−05

  

 

   

DUSP2

NM_004418

16

5.69E−05

4.91E−04

    

  

  

ZFP36L2

U07802

15

1.47E−03

2.26E−06

  

  

   

HBB

NM_000518

15

6.30E−03

1.78E−04

        

 

TCL1A

NM_021966

15

6.39E−03

6.70E−03

  

       

KLF2

NM_016270

15

1.10E−02

9.30E−03

     

    

EBI2

NM_004951

15

1.46E−02

4.55E−06

    

 

   

CCL19

NM_006274

15

2.09E−02

1.49E−04

 

 

 

   

RAFTLIN

D42043

14

7.43E−04

9.71E−03

         

CORO1A

NM_007074

14

1.56E−03

2.32E−04

 

       

FOXO1A

NM_002015

14

4.33E−03

6.53E−05

  

  

 

  

CR2

NM_001877

14

5.04E−03

4.73E−04

    

 

   

TXNIP

NM_006472

14

6.41E−03

5.83E−02

    

     

CD48

NM_001778

14

1.08E−02

3.84E−05

 

    

   

TRA@

M12959

14

1.34E−02

1.50E−05

      

   

PDK4

AF334710

14

1.47E−02

6.61E−03

    

  

  

PRG1

NM_002727

14

3.38E−02

1.29E−05

         

HSPC022

NM_014029

14

4.76E−02

1.65E−03

 

 

 

 

 

 

 

 

 

 

P *, P value for paired-samples t-test of primary breast cancer and matched lymph node metastases. P **, P value for Student’s t-test of “high risk group” and “low risk group”

As a result the text also contains incorrect information. Please find below the correct information:

Identification of Candidate Differentially Expressed Genes

Seventy-nine differentially expressed genes between primary cancers and paired lymph node metastases were identified (Table 3), consisting of 50 genes downregulated and 29 up-regulated. The functions of these genes were related to cell migration and adhesion, extracellular matrix, cell growth, signal transduction, and metabolism, which are involved in biology process of metastasis.

Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • Yumei Feng
    • 1
  • Baocun Sun
    • 1
  • Xiaoqing Li
    • 1
  • Liang Zhang
    • 2
  • Yun Niu
    • 1
  • Chunhua Xiao
    • 1
  • Liansheng Ning
    • 1
  • Zhiyi Fang
    • 1
  • Yuli Wang
    • 1
  • Lina Zhang
    • 1
  • Jing Cheng
    • 2
  • Wei Zhang
    • 3
  • Xishan Hao
    • 1
  1. 1.Breast Cancer Prevention and Treatment Key Laboratory of Ministry of EducationTianjin Medical University Cancer Institute and HospitalTianjinChina
  2. 2.National Engineering Research Center for Beijing Biochip TechnologyBeijingChina
  3. 3.Department of Pathology, Cancer Genomics Core LaboratoryThe University of Texas MD Anderson Cancer CenterHoustonUSA

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